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HOME > J Yeungnam Med Sci > Volume 42; 2025 > Article
Original article
Public Health, Environmental, and Occupational Health
Effects of electronic smoking on daytime plasma cortisol levels and the possible ameliorating role of physical activity: a cross-sectional study
Mahmoud A. Alomari1orcid, Omar F. Khabour2orcid
Journal of Yeungnam Medical Science 2025;42:58.
DOI: https://doi.org/10.12701/jyms.2025.42.58
Published online: September 22, 2025

1Division of Physical Therapy, Department of Rehabilitation Sciences, Jordan University of Science and Technology, Irbid, Jordan

2Department of Medical Laboratory Sciences, Jordan University of Science and Technology, Irbid, Jordan

Corresponding author: Omar F. Khabour, PhD Department of Medical Laboratory Sciences, Jordan University of Science and Technology, P.O. Box 3030, Irbid 22110, Jordan Tel: +962-790-453-765 • E-mail: khabour@just.edu.jo
• Received: July 20, 2025   • Revised: September 11, 2025   • Accepted: September 16, 2025

© 2025 Yeungnam University College of Medicine, Yeungnam University Institute of Medical Science

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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  • Background
    Cortisol is a hormone that regulates metabolism, circadian rhythm, homeostasis, immunity, and normal growth. Physical activity has numerous health benefits, and smoking is associated with several chronic conditions. This study aimed to investigate the combined effects of physical activity and smoking on circulating cortisol levels.
  • Methods
    Diurnal plasma cortisol levels were measured among individuals (age, 35±14 years; n=974) who smoked electronic (e)-cigarettes (n=239), cigarettes (n=230), waterpipes (n=268), and those who did not smoke (n=237) according to physical activity level.
  • Results
    Two-way analysis of covariance showed an effect on cortisol levels of moderate physical activity (p<0.02) and smoking status (p<0.001) without an interaction effect (p>0.3). Group comparisons showed increased (p<0.001) cortisol among e-cigarette users (247.1±7.4 ng/mL) compared to cigarette users (177.8±7.2 ng/mL), waterpipe users (179.8±6.2 ng/mL), and nonsmokers (181.2±7.2 ng/mL) with no statistical differences between other groups (p>0.05). In addition, among the nonsmokers and cigarette smokers, cortisol levels were reduced in individuals with higher participation in moderate physical activity compared to levels in individuals with lower participation (p<0.005).
  • Conclusion
    These results indicate that e-cigarette use is associated with plasma cortisol levels. Physical activity appears to temper cortisol levels in both cigarette smokers and nonsmokers. However, physical activity may not be sufficient to temper plasma cortisol levels associated with e-cigarette use.
Cortisol is a steroid hormone and the predominant glucocorticoid secreted by the adrenal glands. Circadian rhythms regulate the amount and frequency of cortisol secretion. Blood cortisol levels peak just before waking in the morning and then gradually decline throughout the day to synchronize with the wake-sleep cycle [1]. Cortisol levels are influenced by a range of lifestyle factors, such as sleep, physical activity, diet, smoking, alcohol consumption, and mood [1-3]. Cortisol is involved in the regulation of many important bodily functions, including metabolism and stress, inflammatory, and immune responses [4]. Additionally, chronically elevated levels of glucocorticoids are associated with cardiovascular disease, obesity, and metabolic syndrome, as well as a tendency to develop infections, cancer, physical frailty, mood disorders, cognitive impairment, and memory problems [5].
Cigarette smoking is a harmful lifestyle associated with several serious diseases. It increases the risk of cardiovascular, respiratory, metabolic, musculoskeletal, nervous, and immune diseases and increases morbidity and mortality rates. During the past few years, the use of waterpipes and electronic (e)-cigarettes has rapidly emerged as a popular smoking style, especially among young people [6]. Similar to cigarette use, waterpipe [7] and e-cigarette [8] use can lead to numerous deleterious health consequences, such as cancer and respiratory, cardiac, and metabolic diseases. Importantly, smoking elevates cortisol levels at a rate primarily determined by nicotine exposure. This increase has been linked to difficulty in quitting smoking and increased stress [9-11].
Active lifestyles improve physical and mental health as well as overall health, well-being, and quality of life by reducing stress levels [1,12]. Conversely, physical inactivity substantially increases the risk of ischemic heart disease, cancer, and chronic lung diseases [13]. Exercise has also been implicated as part of a strategy to reduce the harm of smoking. It appears to mitigate the adverse health effects of smoking by reducing withdrawal symptoms and the desire to smoke [14].
However, to the best of our knowledge, the ameliorative effects of smoking and physical activity on cortisol levels have not been examined. Therefore, this study compared daytime cortisol levels in adults with low, moderate, and vigorous physical activity levels according to smoking status. More specifically, this study aimed to examine daytime cortisol levels in adults who smoked cigarettes, waterpipes, or e-cigarettes compared to nonsmokers, based on their level of physical activity. These results will help us understand the importance of physical activity in mitigating the negative effects of smoking on daytime cortisol levels.
Ethics statement: The study was approved by the Research Ethics Committee of the Jordan University of Science and Technology (approval No: JUST-53/149/2022). Informed consent was obtained from all participants prior to commencement of the study, after a detailed explanation of the study’s objectives and procedures.
1. Recruitment and design
Healthy men and women aged 18 to 80 years who could read and understand Arabic were invited to participate in the study. Individuals with cardiovascular, respiratory, endocrine, metabolic, musculoskeletal, or mental disorders that could have affected the results were excluded. Invitations to participate in the study were advertised on social media and in public places. Participants were also recruited from parks, shopping centers, academic institutions, and hospitals.
The study design was cross-sectional, comparative, and observational to determine the differences in plasma cortisol levels between cigarette, waterpipe, and e-cigarette users versus nonsmokers.
2. General information about the participants
Self-reported “Google Forms” (Google LLC, Mountain View, CA, USA) were used to collect demographic and socioeconomic information including age in years, body weight in kilograms, height in centimeters, sex, education, household income in Jordanian dinars (JD), and residence type (rural or urban). Household income was categorized as low (≤500 JD), medium (501–1,199 JD), and high (≥1,200 JD), while education was categorized as no more than high school, diploma/first degree university, and master’s/PhD degree.
3. Plasma cortisol
A total of 1,411 adults were recruited to participate in the study. To maintain a comparable number of participants in each smoking group (none, cigarettes, waterpipes, and e-cigarettes), the investigators monitored the number of participants in each group. Plasma cortisol levels were measured in 974 individuals including nonsmokers (n=237), cigarette smokers (n=230), waterpipe smokers (n=268), and e-cigarette smokers (n=239). Individuals included in the cortisol study were selected from the total number based on who was recruited first. Blood samples (5 mL) were collected from the participants in ethylenediaminetetraacetic acid tubes at 10:00 AM (±2 hours) [15]. No fasting or abstinence from smoking was required. Samples were immediately centrifuged at 500×g and plasma was separated and stored at −80°C until used. Plasma cortisol levels were determined using a commercial enzyme-linked immunosorbent assay (Human Cortisol ELISA Kit, catalogue number: EH0641) obtained from Fine Biotech (Wuhan, China). The detection range of the kit was 0.39 to 25 ng/mL, and its sensitivity was 0.234 ng/mL.
4. Smoking status
Information on smoking was obtained using a self-reported questionnaire. Participants were asked to indicate their smoking habits, including smoking type and frequency [16]. Potential participants who reported using more than one smoking type were excluded from the study. Cigarette smokers were defined as individuals who smoked more than 100 cigarettes and were still smoking. E-cigarette smokers were defined as individuals who had vaped more than 100 times and were still vaping. Waterpipe smokers were defined as individuals who smoked more than 100 waterpipes and were still using waterpipes [16].
5. Physical activity
The short form of the Arabic version of the International Physical Activity Questionnaire (IPAQ) was used to measure physical and sedentary activities. The questionnaire is self-reported and consists of seven questions to measure vigorous, moderate, and walking physical activities, as well as sedentary activity [17]. The IPAQ has demonstrated acceptable validity, reliability, and standardization [18,19].
6. Statistical analysis
IBM SPSS version 21 (IBM Corp., Armonk, NY, USA) was used for statistical data analysis. Means and percentages were used to report the data, with a p-value set at <0.05. Participants were classified according to their smoking status (i.e., none, cigarettes, waterpipes, or e-cigarettes). Physical/sedentary activities were classified as high or low (i.e., above or below the 50th percentile, respectively). A 4 (smoking status)×2 (physical activity/sedentary activity level) two-way analysis of covariance (ANCOVA) was used to compare plasma cortisol levels among the participants. Subsequently, one-way ANCOVA was used to compare plasma cortisol levels among participants with high versus low physical/sedentary activity. Post-hoc least significant difference comparisons were used to examine the differences between the subgroups. Relationships between cortisol levels and age, sex, body mass index (BMI), disease status, job type, education, and income were examined using multiple linear regression to identify confounders. Variables associated with plasma cortisol levels were considered confounders and were used in the ANCOVA.
1. Patient characteristics
The study included 974 individuals encompassing nonsmokers (n=237), cigarette smokers (n=230), waterpipe smokers (n=268), and e-cigarette smokers (n=239). As shown in Table 1, the age, weight, height, and BMI ranges of the participants were 18 to 80 years, 39 to 150 kg, 150 to 195 cm, and 15.6 to 50.1 kg/m2, respectively. Table 2 shows the participants’ average plasma cortisol level (197.2±107.3 ng/mL). Additionally, similar percentages of individuals smoked no cigarettes (23.9%), cigarettes (25.5%), waterpipes (26.5%), or e-cigarettes (24.2%). The majority of participants engaged in low (67.6%) versus high (32.4%) vigorous physical activity, while a similar percentage of individuals engaged in low versus high moderate physical activity, walking, total physical activity, and sedentary activity (Supplementary Table 1). Information regarding the frequency of use in each smoking group is provided in Supplementary Table 2.
2. Confounders
Among all potential confounders, linear regression analysis revealed a significant association of plasma cortisol levels with sex (p<0.001), education (p<0.03), income (p<0.01), and marital status (p<0.04). Subsequently, sex, education, income, and marital status were considered confounders and adjusted for in the ANCOVA.
3. Changes in daytime cortisol due to smoking: the importance of physical activity
The two-way ANCOVA shown in Fig. 1 revealed a main effect of smoking status (p<0.001) without vigorous physical activity (p>0.2) and interaction effects (p>0.3). Subsequent group comparisons showed greater (p<0.001) cortisol levels in the e-cigarette group than in the cigarette, waterpipe, and nonsmoker groups, with no significant differences (p>0.05) between the other groups.
According to the two-way ANCOVA shown in Fig. 2, the main effects of moderate physical activity (p>0.02) and smoking status (p<0.001) were found to have no interaction effect (p>0.3). Subsequent group comparisons showed greater (p<0.001) plasma cortisol levels in the e-cigarette group than in the cigarette, waterpipe, and nonsmoking groups, with no significant differences (p>0.05) between the other groups. An additional one-way ANCOVA stratified according to smoking type revealed that cortisol levels were reduced in individuals with higher versus lower participation in moderate physical activity among nonsmokers (p<0.05) and cigarette (p<0.005) smokers.
As shown in Fig. 3, two-way ANCOVA revealed a main effect of smoking status (p<0.001) without an effect of walking (p>0.2) and interaction effects (p>0.4). Subgroup comparisons showed greater (p<0.001) cortisol levels in the e-cigarette group than in the cigarette, waterpipe, and nonsmoking groups; however, no differences (p>0.05) were found between the other groups.
As shown in Fig. 4, two-way ANCOVA revealed a main effect of smoking status (p<0.001) without an effect of total physical activity (p>0.2) and interaction effects (p>0.4). Subgroup comparisons revealed greater (p<0.001) plasma cortisol levels in the e-cigarette group than in the cigarette, waterpipe, and nonsmoking groups; no differences (p>0.05) were found between the other groups. Furthermore, one-way ANCOVA stratified by smoking type revealed that cortisol levels were reduced (p<0.005) in individuals with higher versus lower participation in total physical activity in the cigarette group.
As shown in Fig. 5, two-way ANCOVA revealed a main effect of smoking status (p<0.001) without an effect of sedentary activity (p>0.1) and interaction effects (p>0.3). Subsequent group comparisons showed greater (p<0.001) plasma cortisol levels in the e-cigarette group than in the cigarette, waterpipe, and nonsmoking groups, and no differences (p>0.05) were found between the other groups.
A summary of the figure data and F- and p-values according to smoking classification is shown in the Supplementary Table 3.
Elevated cortisol levels are associated with sleep disturbance [20], increased stress [21], cognitive decline [9], cardiovascular disease, obesity, metabolic syndrome, susceptibility to infection, cancer, physical weakness, and memory problems [5,22]. Tobacco smoking is a health hazard [23], and participation in physical activity can protect and restore well-being and quality of life [1]. However, the combined effects of different smoking styles and physical activity on daytime circulating cortisol levels remain unclear. Therefore, the current study examined daytime plasma cortisol levels in individuals who smoked cigarettes, waterpipes, and e-cigarettes versus nonsmokers.
According to these results, e-cigarette smoking was associated with elevated plasma cortisol levels. Uniquely, however, engaging in an active lifestyle seems to help cigarette smokers and nonsmokers attenuate circulating cortisol levels. Given the potential negative effects of elevated circulating cortisol levels, these results confirm the health hazards of smoking. Fortunately, physical activity seems to temper some of the harmful effects of smoking. However, physical activity alone is insufficient to restore circulatory cortisol levels in e-cigarette smokers. Further studies are required to confirm these findings and to verify these hypotheses.
The results revealed elevated plasma cortisol levels in e-cigarette smokers compared to those in cigarette smokers, waterpipe smokers, and nonsmokers. To the best of our knowledge, no studies have determined daytime plasma cortisol levels in waterpipe or e-cigarette smokers, whereas a few studies have reported elevated cortisol levels in cigarette smokers [3,24-27]. The current findings confirm the negative health effects of e-cigarettes, particularly on plasma cortisol levels. Given the negative effects of elevated circulating cortisol levels, strategies should be implemented to control the spread of e-cigarette smoking and to reduce cortisol levels among smokers.
The results also revealed that cortisol levels were reduced in individuals with higher versus lower participation in physical activity among the nonsmokers and cigarette smokers. This finding suggests that an active lifestyle helps cigarette smokers and nonsmokers attenuate cortisol levels. Consistent with the current findings, physical activity has been found to reduce cortisol levels [28-30], improve cognitive function [9] and modulate psychological stress [31]. This reduction in cortisol levels seems to help attenuate cravings and withdrawal symptoms in smokers [32]. These beneficial effects appear to depend on the extent of physical activity [9,33]. For example, short-term aerobic exercise resulted in diminished cortisol levels in smokers; however, this reduction was greater after 8 weeks of exercise training [9]. Additionally, jogging promotes a greater reduction in cortisol levels than walking [33].
The claim that e-cigarettes release harmless vapors is not true [34]. Although the toxin levels in e-cigarette aerosols are much lower than those in cigarette smoke, they still contain nicotine, ultrafine particles, and other toxic carcinogenic chemicals. In addition, during e-cigarette smoking, a heated solution containing propylene glycol or glycerin is inhaled, which is not observed in cigarette smoking [35]. However, the effect of the inhalation of these solutions on cortisol levels remains unknown; thus, further studies are needed.
Nicotine exposure may trigger cortisol production in the brain. Nicotine stimulates cholinergic receptors in the hypothalamus, a region responsible for processing emotions, altering subjective stress levels, and stimulating responses from the hypothalamic-pituitary-adrenal axis; this nicotine stimulation leads to cortisol production [36]. Conversely, cortisol may play an important role in nicotine metabolism, as sensitivity to nicotine tends to diminish under conditions of enhanced corticosteroid activity [37]. Several neurotransmitters mediate the effects of nicotine, which may explain the effectiveness of moderate exercise in reducing stress hormones [9].
In the current study, no relationship was found between physical activity and daytime plasma cortisol levels in waterpipe or e-cigarette smokers. Given the lack of research on the combined effects of waterpipe or e-cigarette smoking and physical activity on daytime circulating cortisol levels, it is difficult to compare the results. However, physical activity may not be sufficient to attenuate the toxicity of compounds found in e-cigarette products, such as propylene glycol or glycerin [35,38]. Therefore, further studies are required to identify the effects of e-cigarette and waterpipe smoking on daytime cortisol levels.
According to the current results, e-cigarette smoking might be associated with daytime cortisol levels, whereas maintaining an active lifestyle seems to attenuate cortisol levels in both cigarette smokers and nonsmokers. Therefore, there is a need to develop plans to restrain the spread of tobacco smoking and attenuate the harmful effects of tobacco products on health, particularly the elevated cortisol levels in e-cigarette smokers. Further studies are required to confirm these findings and hypotheses.
The inherent limitations of this study’s cross-sectional design must be acknowledged. The cross-sectional design does not allow the establishment of causality; thus, the results are inconclusive. Additionally, the participants were recruited from Jordan, a relatively small Middle Eastern country, which prohibits the generalization of the findings. Additionally, data on smoking and participation in physical and sedentary activities were collected using questionnaires, which are inherently subjective and biased. Therefore, laboratory and clinical studies are required to determine the effects of the compounds found in e-cigarettes and waterpipes on cortisol and other hormone levels. However, the current results serve as a platform for future multicenter longitudinal studies to determine the health effects of consuming various smoking products, particularly on cortisol levels. Finally, although we collected data on smoking frequency for each type of smoking, this variable was not included in the analysis to avoid complicating the manuscript with the number of parameters analyzed.
The current study examined the combined effects of physical activity and cigarette, waterpipe, and e-cigarette smoking versus nonsmoking on circulating cortisol levels in adults. The results indicated that e-cigarette smoking was associated with elevated plasma cortisol levels. Interestingly, maintaining an active lifestyle seemed to temper cortisol levels in both cigarette smokers and nonsmokers. However, physical activity may not be sufficient to attenuate the elevated cortisol levels associated with e-cigarette products. Further studies are required to verify the effects of e-cigarette and waterpipe smoking on daytime cortisol levels.
Supplementary Tables 1 to 3 can be found at https://doi.org/10.12701/jyms.2025.42.58.
Supplementary Table 1.
Summary of physical and sedentary activity by smoking status
jyms-2025-42-58-Supplementary-Table-1.pdf
Supplementary Table 2.
Data on smoking frequency (n=974)
jyms-2025-42-58-Supplementary-Table-2.pdf
Supplementary Table 3.
F- and p-values according to smoking classification
jyms-2025-42-58-Supplementary-Table-3.pdf

Conflicts of interest

No potential conflict of interest relevant to this article was reported.

Funding

This study was funded by a grant from the Jordan University of Science and Technology (grant number 488/2022) to MA.

Author contributions

Conceptualization, Data curation, Formal analysis, Funding acquisition: MA, OK; Methodology, Project administration, Software: MA; Writing-original draft: MA, OK; Writing-review & editing: MA, OK.

Fig. 1.
Plasma cortisol level according to smoking status and vigorous physical activity. *p<0.05, statistical significance versus none, cigarettes, and waterpipes. Data are presented as mean±standard error.
jyms-2025-42-58f1.jpg
Fig. 2.
Plasma cortisol level according to smoking status and moderate physical activity. *p<0.05, statistical significance versus none, cigarettes, and waterpipes. p<0.05, statistical significance versus high physical activity. Data are presented as mean±standard error.
jyms-2025-42-58f2.jpg
Fig. 3.
Plasma cortisol level according to smoking status and walking physical activity. *p<0.05, statistical significance versus none, cigarettes, and waterpipes. Data are presented as mean±standard error.
jyms-2025-42-58f3.jpg
Fig. 4.
Plasma cortisol level according to smoking status and total physical activity. *p<0.05, statistical significance versus none, cigarettes, and waterpipes. Data are presented as mean±standard error.
jyms-2025-42-58f4.jpg
Fig. 5.
Plasma cortisol level according to smoking status and sedentary activity. *p<0.05, statistical significance versus none, cigarettes, and waterpipes. Data are presented as mean±standard error.
jyms-2025-42-58f5.jpg
Table 1.
Participant characteristics
Characteristic Data
No. of patients 974
Age (yr) 38.8±14.1
Weight (kg) 80.3±17.2
Height (cm) 170.3±9.0
Body mass index (kg/m2) 27.6±5.5
Sex
 Female 246 (25.3)
 Male 728 (74.7)
Income (Jordanian dinar) 643.1±263.2
 Low 400 (41.1)
 Middle 237 (24.3)
 High 303 (31.1)
Location
 Rural 515 (52.9)
 Urban 459 (47.1)
Smoking status
 Nonsmoking 237 (24.3)
 Cigarettes 230 (23.6)
 Waterpipe 268 (27.5)
 E-cigarette smoking 239 (24.5)
Disease status
 Healthy 829 (85.1)
 Having a chronic disease 145 (14.9)
Education
 High school or less 525 (53.9)
 Diploma/bachelor 360 (37.0)
 Postgraduate 89 (9.1)
Marital status
 Single 403 (41.4)
 Married 542 (55.6)
 Others 30 (3.1)

Values are presented as number only, mean±standard deviation, or number (%).

Table 2.
Cortisol, smoking status, and physical activity (n=974)
Parameter Data
Plasma cortisol (ng/mL) 197.2±107.3
Smoking status
 Nonsmoking 237 (24.3)
 Cigarettes 230 (23.6)
 Waterpipe 268 (27.5)
 E-cigarette 239 (24.5)
Vigorous PA (MET-min) 552.4±1,234.7
 Low 657 (67.5)
 High 317 (32.6)
Moderate PA (MET-min) 581.3±920.1
 Low 519 (53.3)
 High 455 (46.7)
Walking PA (MET-min) 607.2±696.4
 Low 519 (53.3)
 High 455 (46.7)
Total PA (MET-min) 1,740.9±1,946.1
 Low 526 (54.0)
 High 448 (46.0)
Sedentary activity (min) 3.2±2.0
 Low 424 (43.5)
 High 550 (56.5)

Values are presented as mean±standard deviation or number (%).

PA, physical activity; MET, metabolic equivalent; MET-min, MET multiplied by time (minutes).

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      Effects of electronic smoking on daytime plasma cortisol levels and the possible ameliorating role of physical activity: a cross-sectional study
      Image Image Image Image Image
      Fig. 1. Plasma cortisol level according to smoking status and vigorous physical activity. *p<0.05, statistical significance versus none, cigarettes, and waterpipes. Data are presented as mean±standard error.
      Fig. 2. Plasma cortisol level according to smoking status and moderate physical activity. *p<0.05, statistical significance versus none, cigarettes, and waterpipes. †p<0.05, statistical significance versus high physical activity. Data are presented as mean±standard error.
      Fig. 3. Plasma cortisol level according to smoking status and walking physical activity. *p<0.05, statistical significance versus none, cigarettes, and waterpipes. Data are presented as mean±standard error.
      Fig. 4. Plasma cortisol level according to smoking status and total physical activity. *p<0.05, statistical significance versus none, cigarettes, and waterpipes. Data are presented as mean±standard error.
      Fig. 5. Plasma cortisol level according to smoking status and sedentary activity. *p<0.05, statistical significance versus none, cigarettes, and waterpipes. Data are presented as mean±standard error.
      Effects of electronic smoking on daytime plasma cortisol levels and the possible ameliorating role of physical activity: a cross-sectional study
      Characteristic Data
      No. of patients 974
      Age (yr) 38.8±14.1
      Weight (kg) 80.3±17.2
      Height (cm) 170.3±9.0
      Body mass index (kg/m2) 27.6±5.5
      Sex
       Female 246 (25.3)
       Male 728 (74.7)
      Income (Jordanian dinar) 643.1±263.2
       Low 400 (41.1)
       Middle 237 (24.3)
       High 303 (31.1)
      Location
       Rural 515 (52.9)
       Urban 459 (47.1)
      Smoking status
       Nonsmoking 237 (24.3)
       Cigarettes 230 (23.6)
       Waterpipe 268 (27.5)
       E-cigarette smoking 239 (24.5)
      Disease status
       Healthy 829 (85.1)
       Having a chronic disease 145 (14.9)
      Education
       High school or less 525 (53.9)
       Diploma/bachelor 360 (37.0)
       Postgraduate 89 (9.1)
      Marital status
       Single 403 (41.4)
       Married 542 (55.6)
       Others 30 (3.1)
      Parameter Data
      Plasma cortisol (ng/mL) 197.2±107.3
      Smoking status
       Nonsmoking 237 (24.3)
       Cigarettes 230 (23.6)
       Waterpipe 268 (27.5)
       E-cigarette 239 (24.5)
      Vigorous PA (MET-min) 552.4±1,234.7
       Low 657 (67.5)
       High 317 (32.6)
      Moderate PA (MET-min) 581.3±920.1
       Low 519 (53.3)
       High 455 (46.7)
      Walking PA (MET-min) 607.2±696.4
       Low 519 (53.3)
       High 455 (46.7)
      Total PA (MET-min) 1,740.9±1,946.1
       Low 526 (54.0)
       High 448 (46.0)
      Sedentary activity (min) 3.2±2.0
       Low 424 (43.5)
       High 550 (56.5)
      Table 1. Participant characteristics

      Values are presented as number only, mean±standard deviation, or number (%).

      Table 2. Cortisol, smoking status, and physical activity (n=974)

      Values are presented as mean±standard deviation or number (%).

      PA, physical activity; MET, metabolic equivalent; MET-min, MET multiplied by time (minutes).


      JYMS : Journal of Yeungnam Medical Science
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